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Downloads the mouse ageing thymus droplet experiment as a SingleCellExperiment. Roughly 69k thymic epithelial cells across three ages, with real change in cell type proportions between them.

That compositional change is what makes it the example for get_miloR_abundances_sc() and meld_sc(). A stimulation experiment moves cells in embedding space without moving the proportions, so almost every neighbourhood comes out significant and the result says nothing. Load it with load_sce().

Usage

download_thymus_ageing(quiet = FALSE)

Arguments

quiet

Boolean. If the download shall be quiet.

Value

String. The path to the qs2 file holding the SingleCellExperiment.

Details

Sourced from the MouseThymusAgeing Bioconductor package. See data-raw/zenodo_sce_datasets.R for the preparation. The object carries no gene names, so load_sce() falls back to the Ensembl identifiers in the rowData, and 336 genes with no annotation at all get a generated identifier.

Served from the bixverse-data GitHub release. There is no Zenodo fallback for this one yet. At 430 MB it is the largest of the example datasets, so expect the first call to take a while.

References

Baran-Gale, et al., Development, 2020

Examples

if (FALSE) { # \dontrun{
# pulls the archive into the session tempdir()
path <- download_thymus_ageing()
sce <- qs2::qs_read(path)
} # }